| >Q6ZQW0 (141 residues) SAAQSTVLHAFDEFLGIRHSKESGDFLYRMRDYMPPSHKAFIEDIHSAPSLRDYILSSGQ DHLLTAYNQCVQALAELRSYHITMVTKYLITAAAKAKHGKPNHLPGPPQALKDRGTGGTA VMSFLKSVRDKTLESILHPRG |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | SAAQSTVLHAFDEFLGIRHSKESGDFLYRMRDYMPPSHKAFIEDIHSAPSLRDYILSSGQDHLLTAYNQCVQALAELRSYHITMVTKYLITAAAKAKHGKPNHLPGPPQALKDRGTGGTAVMSFLKSVRDKTLESILHPRG |
| Prediction | CCCHHHHHHHHHHHHCCCCCCCCCHHHHHHHHHCCHHHHHHHHHHHHCCCHHHHHHHCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHCCC |
| Confidence | 940413899999996999999865179999971999999999999965868999985699999999999999999999999999999984544347888864445665444577788704899999999999998640379 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | SAAQSTVLHAFDEFLGIRHSKESGDFLYRMRDYMPPSHKAFIEDIHSAPSLRDYILSSGQDHLLTAYNQCVQALAELRSYHITMVTKYLITAAAKAKHGKPNHLPGPPQALKDRGTGGTAVMSFLKSVRDKTLESILHPRG |
| Prediction | 864221211202110305157574513542272236403400520473350352046463650250034015104602530030014101324545455555545645654644011313304203513540453326758 |
| Values range from 0 (buried residue) to 8 (highly exposed residue) | |
| Rank | PDB hit | ID1 | ID2 | Cov | Norm. Zscore | Downloadalignment | 20 40 60 80 100 120 140 | | | | | | | | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SS Seq | CCCHHHHHHHHHHHHCCCCCCCCCHHHHHHHHHCCHHHHHHHHHHHHCCCHHHHHHHCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHCCC SAAQSTVLHAFDEFLGIRHSKESGDFLYRMRDYMPPSHKAFIEDIHSAPSLRDYILSSGQDHLLTAYNQCVQALAELRSYHITMVTKYLITAAAKAKHGKPNHLPGPPQALKDRGTGGTAVMSFLKSVRDKTLESILHPRG | |||||||||||||||||||
| 1 | 2d0tB | 0.46 | 0.38 | 11.18 | 1.33 | DEthreader | SAGQSSVFQCFDVLLGIQQAGHAAQFLQDMRRYMPPAHRNFLCSLESNPSVREFVLSKGDAGLREAYDACVKALVSLRSYHLQIVTKYILIPASQ------------------GG-T--DLMNFLKTVRSTTEKSLLKE-- | |||||||||||||
| 2 | 2d0tB | 0.47 | 0.40 | 11.57 | 1.92 | SPARKS-K | SAGQSSVFQCFDVLLGIQQTGHAAQFLQDMRRYMPPAHRNFLCSLESNPSVREFVLSKGDAGLREAYDACVKALVSLRSYHLQIVTKYILIPAS---------------------QGGTDLMNFLKTVRSTTEKSLLKEG- | |||||||||||||
| 3 | 2d0tB | 0.47 | 0.39 | 11.37 | 1.05 | MapAlign | SAGQSSVFQCFDVLLGIQQTAHAAQFLQDMRRYMPPAHRNFLCSLESNPSVREFVLSKGDAGLREAYDACVKALVSLRSYHLQIVTKYILI---------------------PASQGGTDLMNFLKTVRSTTEKSLLKE-- | |||||||||||||
| 4 | 2d0tB | 0.47 | 0.40 | 11.57 | 1.13 | CEthreader | SAGQSSVFQCFDVLLGIQQTAGAAQFLQDMRRYMPPAHRNFLCSLESNPSVREFVLSKGDAGLREAYDACVKALVSLRSYHLQIVTKYILIPAS---------------------QGGTDLMNFLKTVRSTTEKSLLKEG- | |||||||||||||
| 5 | 2d0tB | 0.47 | 0.40 | 11.57 | 1.74 | MUSTER | SAGQSSVFQCFDVLLGIQQTAGAAQFLQDMRRYMPPAHRNFLCSLESNPSVREFVLSKGDAGLREAYDACVKALVSLRSYHLQIVTKYILIPAS---------------------QGGTDLMNFLKTVRSTTEKSLLKEG- | |||||||||||||
| 6 | 2d0tB | 0.47 | 0.40 | 11.57 | 3.93 | HHsearch | SAGQSSVFQCFDVLLGIQQTAGAAQFLQDMRRYMPPAHRNFLCSLESNPSVREFVLSKGDAGLREAYDACVKALVSLRSYHLQIVTKYILIPAS---------------------QGGTDLMNFLKTVRSTTEKSLLKEG- | |||||||||||||
| 7 | 2d0tB | 0.47 | 0.40 | 11.56 | 1.76 | FFAS-3D | SAGQSSVFQCFDVLLGIQQTAGGAQFLQDMRRYMPPAHRNFLCSLESNPSVREFVLSKGDAGLREAYDACVKALVSLRSYHLQIVTKYILIPA---------------------SQGGTDLMNFLKTVRSTTEKSLLKE-- | |||||||||||||
| 8 | 2d0tB | 0.42 | 0.35 | 10.42 | 0.87 | EigenThreader | SAGQSSVFQCFDVLLGIQQTAGGGQFLQDMRRYMPPAHRNFLCSLESNPSVREFVLSKGDAGLREAYDACVKALVSLRSYHLQIVTKYILIPAS----------------------QGGTDLMNFLKTVRSTTEKSLLKEG | |||||||||||||
| 9 | 5wmuA | 0.47 | 0.42 | 12.19 | 1.17 | CNFpred | SAGQSSVFQCFDVLLGIQQT-HAAQFLQDMRRYMPPAHRNFLCSLESNPSVREFVLSKGDAGLREAYDACVKALVSLRSYHLQIVTKYILIPASQQP-------------LEAKGTGGTDLMNFLKTVRSTTEKSLLKEG- | |||||||||||||
| 10 | 2nwbA | 0.18 | 0.16 | 5.06 | 1.17 | DEthreader | NAGDFAGINVIDLTLGLCFEASYSQMLVDKFLYMMPEDQQILRECMRRPNLMDDFLQACYQENLKLFIEVCELHGQTAIQHHELVTKYIAEPSVSM----------------PL--H--VLLASLERLRDRRATRYLKKL- | |||||||||||||
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Top 10 structural analogs in PDB (as identified by
TM-align)
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Top 5 enzyme homologs in PDB
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Template proteins with similar binding site:
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| References: | |
| 1. | Wei Zheng, Qiqige Wuyun, Yang Li, Quancheng Liu, Xiaogen Zhou, Yiheng Zhu, P. Lydia Freddolino, Yang Zhang. Integrating deep learning potentials with I-TASSER for single- and multi-domain protein structure prediction. Submitted. 2023. |